Monthly Traffic Safety Analysis

18 CRASHES IN
NORWELL, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

In August 2024, Norwell experienced 18 total crashes, which is unchanged from the 18 crashes recorded in August 2023. Total fatalities remained at 0 for both periods, and total injuries also held steady at 4. The most notable shift was the emergence of 1 DUI crash in August 2024, compared to 0 in the prior year, while hit-and-run crashes decreased from 1 to 0.

18

Total Crash Events

0

Persons Killed

4

Persons Injured

0

-100.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in Norwell remained stable year-over-year, with total crashes holding at 18 for both August 2024 and August 2023. Fatalities remained at 0, and total injuries stayed at 4, indicating no significant change in the overall volume or severity of incidents. This suggests a consistent pattern in traffic incidents for the month.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 40.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, with 4 crashes each. The peak hour for crashes also remained 5 PM, though the count decreased from 4 crashes in August 2023 to 3 crashes in August 2024. There was a shift in crash distribution during the week, with Tuesday crashes decreasing from 4 to 1, while Sunday and Saturday crashes each increased from 2 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The overall number of injury crashes remained constant at 4 for both August 2024 and August 2023, with no fatalities reported in either period. However, the composition of injuries changed, with minor injury crashes increasing from 1 (5.6% of total) to 2 (11.1% of total). Possible injury crashes, which accounted for 2 incidents (11.1% of total) in the prior year, were not reported in August 2024.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes11.1%
100.0%prior 1
No Injury15no injury crashes83.3%
7.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' increased by 2 crashes, from 3 in August 2023 to 5 in August 2024. 'Followed too closely' also saw an increase of 2 crashes, rising from 2 to 4 year-over-year. Conversely, crashes attributed to 'Inattention' decreased by 2, falling from 3 in August 2023 to 1 in August 2024.

Officer-Reported Primary Contributing Cause

No improper driving5 (27.8%)
Followed too closely4 (22.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.6%)
Visibility obstructed1 (5.6%)
Wrong side or wrong way1 (5.6%)
Operating defective equipment1 (5.6%)
Inattention1 (5.6%)
Failure to keep in proper lane or running off road1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions remained the most dominant factor, accounting for 15 crashes in August 2024, a slight increase from 14 in August 2023. Crashes occurring in daylight conditions increased from 13 to 16 year-over-year, while crashes in dark, lighted roadway conditions decreased from 2 to 1. Information on road surface conditions was not available for the prior period, preventing a direct comparison.

Weather

Clear15 (83.3%)
7.1%prior 14
Cloudy2 (11.1%)
Rain1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight16 (88.9%)
23.1%prior 13
Dark - lighted roadway1 (5.6%)
Dark - unknown roadway lighting1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry17 (94.4%)
Wet1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (32 vehicles)

1
CHEVROLET5 (15.6%)
2
FORD3 (9.4%)
-40.0%prior 5
3
JEEP3 (9.4%)
4
NISSAN2 (6.3%)
5
HONDA2 (6.3%)
6
TOYOTA2 (6.3%)
7
LEXUS1 (3.1%)
8
LINC1 (3.1%)
9
LUCI1 (3.1%)
10
MAZDA1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

2 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (41 persons with recorded sex)

Male27 (65.9%)
35.0%prior 20
Female14 (34.1%)
-17.6%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in lower speed zones saw increases, with incidents at 25 mph rising from 1 to 3, 30 mph from 2 to 3, and 35 mph from 4 to 5. Conversely, crashes in higher speed zones decreased, with 40 mph zones seeing a drop from 3 to 2 crashes and 60 mph zones from 5 to 4. No fatalities were recorded in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: NORWELL, MA
  • Total crash records analyzed: 18
  • Total persons involved: 43
  • Total vehicles involved: 32

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "NORWELL, MA Crash Intelligence Report: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norwell/august-2024-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Norwell, MA Crash Report — August 2024 | ThatCarHitMe.com